Triple
T23053178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Crane |
E574076
|
entity |
| Predicate | romanticRelationship |
P9994
|
FINISHED |
| Object |
Zoe Webb
Zoe Webb is a character from the television series "Felicity," known for being one of Noel Crane’s love interests.
|
E1571858
|
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: Zoe Webb | Statement: [Noel Crane, romanticRelationship, Zoe Webb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoe Webb Context triple: [Noel Crane, romanticRelationship, Zoe Webb]
-
A.
Zoe Reynolds
Zoe Reynolds is a fictional MI5 intelligence officer and key member of the counter-terrorism team in the British television drama series "Spooks."
-
B.
Zoë Lund
Zoë Lund was an American actress, writer, and musician best known for her work in provocative independent films and her collaboration with director Abel Ferrara.
-
C.
Zoë Telford
Zoë Telford is a British actress known for her work in television dramas and comedies, including roles in series such as Sherlock and Teachers.
-
D.
Zoe Baker
Zoe Baker is a documentary filmmaker and Kevin Pearson’s significant romantic partner in the television series "This Is Us."
-
E.
Zoë Robins
Zoë Robins is a New Zealand actress best known for her role as Nynaeve al'Meara in the fantasy television series "The Wheel of Time."
- 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: Zoe Webb Triple: [Noel Crane, romanticRelationship, Zoe Webb]
Generated description
Zoe Webb is a character from the television series "Felicity," known for being one of Noel Crane’s love interests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zoe Webb Target entity description: Zoe Webb is a character from the television series "Felicity," known for being one of Noel Crane’s love interests.
-
A.
Zoe Reynolds
Zoe Reynolds is a fictional MI5 intelligence officer and key member of the counter-terrorism team in the British television drama series "Spooks."
-
B.
Zoë Lund
Zoë Lund was an American actress, writer, and musician best known for her work in provocative independent films and her collaboration with director Abel Ferrara.
-
C.
Zoë Telford
Zoë Telford is a British actress known for her work in television dramas and comedies, including roles in series such as Sherlock and Teachers.
-
D.
Zoe Baker
Zoe Baker is a documentary filmmaker and Kevin Pearson’s significant romantic partner in the television series "This Is Us."
-
E.
Zoë Robins
Zoë Robins is a New Zealand actress best known for her role as Nynaeve al'Meara in the fantasy television series "The Wheel of Time."
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867dfac48190bf300f85d2907854 |
completed | April 29, 2026, 4:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23d8629081909ba2cad32e5956de |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271d8fc48190a818c73660218022 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c2951a718819088c1c7d8435586ec |
completed | May 19, 2026, 9:11 a.m. |
Created at: April 17, 2026, 3:54 p.m.