Triple
T20995351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flesh and Bone |
E517133
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Julia McNeal
Julia McNeal is an American actress known for her role in the film "Flesh and Bone" and various other film and television appearances.
|
E1464124
|
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: Julia McNeal | Statement: [Flesh and Bone, starring, Julia McNeal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia McNeal Context triple: [Flesh and Bone, starring, Julia McNeal]
-
A.
Julia O'Brien
Julia O'Brien is known as the sister of American actor Dylan O'Brien.
-
B.
Julia Sullivan
Julia Sullivan is a central character in the stage musical "The Wedding Singer," known for her romantic storyline with Robbie Hart.
-
C.
Julia McCullough
Julia McCullough is a tragic magician’s assistant in the film "The Prestige," whose death becomes the emotional and narrative catalyst for the rivalry between the two main illusionists.
-
D.
Julia Callaghan
Julia Callaghan is known primarily as the daughter of former UK Prime Minister James (Jim) Callaghan.
-
E.
Julia Maddon
Julia Maddon is a key supporting character in the "Need for Speed" film, serving as Tobey Marshall’s determined and resourceful ally in his quest for justice.
- 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: Julia McNeal Triple: [Flesh and Bone, starring, Julia McNeal]
Generated description
Julia McNeal is an American actress known for her role in the film "Flesh and Bone" and various other film and television appearances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julia McNeal Target entity description: Julia McNeal is an American actress known for her role in the film "Flesh and Bone" and various other film and television appearances.
-
A.
Julia O'Brien
Julia O'Brien is known as the sister of American actor Dylan O'Brien.
-
B.
Julia Sullivan
Julia Sullivan is a central character in the stage musical "The Wedding Singer," known for her romantic storyline with Robbie Hart.
-
C.
Julia McCullough
Julia McCullough is a tragic magician’s assistant in the film "The Prestige," whose death becomes the emotional and narrative catalyst for the rivalry between the two main illusionists.
-
D.
Julia Callaghan
Julia Callaghan is known primarily as the daughter of former UK Prime Minister James (Jim) Callaghan.
-
E.
Julia Maddon
Julia Maddon is a key supporting character in the "Need for Speed" film, serving as Tobey Marshall’s determined and resourceful ally in his quest for justice.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1fd5d48190a56981cee95ebd69 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a094738a00081909ba4f1abfcf700aa |
completed | May 17, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_6a094b091dac8190afafd7af57af719d |
completed | May 17, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a094b65c1cc8190a0b3c764cb05f9f8 |
completed | May 17, 2026, 5 a.m. |
Created at: April 16, 2026, 1:50 p.m.