Triple
T5271561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Wilde |
E119269
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Meadowland
Meadowland is a 2015 independent drama film starring Olivia Wilde as a grieving mother coping with the mysterious disappearance of her young son.
|
E510779
|
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: Meadowland | Statement: [Olivia Wilde, notableWork, Meadowland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meadowland Context triple: [Olivia Wilde, notableWork, Meadowland]
-
A.
The Meadows
The Meadows is a central shopping complex in Chelmsford, England, featuring a range of retail stores, eateries, and services.
-
B.
Greenmeadow
Greenmeadow is a residential neighbourhood within the town of Cwmbran in South Wales.
-
C.
Long Meadow
Long Meadow is a vast, uninterrupted stretch of open lawn in Brooklyn’s Prospect Park, known as one of the longest continuous meadows in any U.S. urban park.
-
D.
Meadows
Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
-
E.
Blake Meadows
Blake Meadows is the son of former White House Chief of Staff and U.S. Representative Mark Meadows.
- 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: Meadowland Triple: [Olivia Wilde, notableWork, Meadowland]
Generated description
Meadowland is a 2015 independent drama film starring Olivia Wilde as a grieving mother coping with the mysterious disappearance of her young son.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meadowland Target entity description: Meadowland is a 2015 independent drama film starring Olivia Wilde as a grieving mother coping with the mysterious disappearance of her young son.
-
A.
The Meadows
The Meadows is a central shopping complex in Chelmsford, England, featuring a range of retail stores, eateries, and services.
-
B.
Greenmeadow
Greenmeadow is a residential neighbourhood within the town of Cwmbran in South Wales.
-
C.
Long Meadow
Long Meadow is a vast, uninterrupted stretch of open lawn in Brooklyn’s Prospect Park, known as one of the longest continuous meadows in any U.S. urban park.
-
D.
Meadows
Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
-
E.
Blake Meadows
Blake Meadows is the son of former White House Chief of Staff and U.S. Representative Mark Meadows.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c1fa01081909d589686289b624b |
completed | March 20, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10d4cd44819085193f0f76eb597a |
completed | March 21, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69bf1186f1988190893e8d1af8623f6d |
completed | March 21, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1226ddd08190a39799fd0db58694 |
completed | March 21, 2026, 9:48 p.m. |
Created at: March 20, 2026, 1:51 p.m.