Triple
T16618990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shailene Woodley |
E403769
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Shailene
Shailene is a feminine given name most prominently associated with American actress Shailene Woodley.
|
E1228519
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Shailene | Statement: [Shailene Woodley, givenName, Shailene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shailene Context triple: [Shailene Woodley, givenName, Shailene]
-
A.
Angourie Rice
Angourie Rice is an Australian actress known for her breakout role in "The Nice Guys" and for appearing in films such as "Spider-Man: Homecoming" and "Spider-Man: Far From Home."
-
B.
Amanda Lane
Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
-
C.
Natalie Bridges
Natalie Bridges is the wife of New Zealand politician and former National Party leader Simon Bridges.
-
D.
Melora Hardin
Melora Hardin is an American actress and singer best known for her roles in television series such as "The Office" and "Monk," as well as numerous film and stage performances.
-
E.
Kristy Swanson
Kristy Swanson is an American actress best known for originating the title role in the 1992 film "Buffy the Vampire Slayer" and appearing in numerous films and television shows since the 1980s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shailene Triple: [Shailene Woodley, givenName, Shailene]
Generated description
Shailene is a feminine given name most prominently associated with American actress Shailene Woodley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shailene Target entity description: Shailene is a feminine given name most prominently associated with American actress Shailene Woodley.
-
A.
Angourie Rice
Angourie Rice is an Australian actress known for her breakout role in "The Nice Guys" and for appearing in films such as "Spider-Man: Homecoming" and "Spider-Man: Far From Home."
-
B.
Amanda Lane
Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
-
C.
Natalie Bridges
Natalie Bridges is the wife of New Zealand politician and former National Party leader Simon Bridges.
-
D.
Melora Hardin
Melora Hardin is an American actress and singer best known for her roles in television series such as "The Office" and "Monk," as well as numerous film and stage performances.
-
E.
Kristy Swanson
Kristy Swanson is an American actress best known for originating the title role in the 1992 film "Buffy the Vampire Slayer" and appearing in numerous films and television shows since the 1980s.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754c934c8190a0a8ddd747681aa7 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a296a7481908aca94cf3d1f8d3b |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008df3f8d48190a12d73f92fe97b41 |
completed | May 10, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008ed7e0588190bce6ac43a01fcd69 |
completed | May 10, 2026, 1:57 p.m. |
Created at: April 10, 2026, 5:17 a.m.