Triple
T14240649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippa Cobb |
E352993
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Claire Geare
Claire Geare is an American child actress best known for her role as Philippa Cobb in the film "Inception."
|
E1119445
|
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: Claire Geare | Statement: [Philippa Cobb, portrayedBy, Claire Geare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Geare Context triple: [Philippa Cobb, portrayedBy, Claire Geare]
-
A.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
B.
Claire Wright
Claire Wright is known as the wife of Tom Wright, a prominent British New Testament scholar and former Bishop of Durham.
-
C.
Claire Gregory
Claire Gregory is the wealthy socialite who becomes the focus of a detective’s protection and affection in the film "Someone to Watch Over Me."
-
D.
Clare Wise
Clare Wise is a British professional known primarily as the sister of actor Greg Wise and for her work in the arts and charitable sectors.
-
E.
Claire Dodd
Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
- 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: Claire Geare Triple: [Philippa Cobb, portrayedBy, Claire Geare]
Generated description
Claire Geare is an American child actress best known for her role as Philippa Cobb in the film "Inception."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claire Geare Target entity description: Claire Geare is an American child actress best known for her role as Philippa Cobb in the film "Inception."
-
A.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
B.
Claire Wright
Claire Wright is known as the wife of Tom Wright, a prominent British New Testament scholar and former Bishop of Durham.
-
C.
Claire Gregory
Claire Gregory is the wealthy socialite who becomes the focus of a detective’s protection and affection in the film "Someone to Watch Over Me."
-
D.
Clare Wise
Clare Wise is a British professional known primarily as the sister of actor Greg Wise and for her work in the arts and charitable sectors.
-
E.
Claire Dodd
Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cd12c308190ac868ffe7c5539b0 |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe17fc37ec8190b2e9c786a5e7843e |
completed | May 8, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe18786294819080ce5ee0d8af00c9 |
completed | May 8, 2026, 5:08 p.m. |
Created at: April 10, 2026, 1:08 a.m.