Triple
T19268347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack & Sarah |
E481849
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Tim Sullivan
Tim Sullivan is a film director best known for his work on the British romantic comedy-drama "Jack & Sarah."
|
E1368221
|
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: Tim Sullivan | Statement: [Jack & Sarah, director, Tim Sullivan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Sullivan Context triple: [Jack & Sarah, director, Tim Sullivan]
-
A.
Tim Sullivan
Tim Sullivan is a screenwriter best known for co-writing the romantic drama film "Letters to Juliet."
-
B.
Paul Sullivan
Paul Sullivan is a relatively common name shared by multiple notable individuals, including figures in fields such as music, journalism, and sports.
-
C.
Timothy Sullivan
Timothy Sullivan is a name shared by several notable individuals, including politicians, judges, and academics, whose specific identity depends on the context in which it is used.
-
D.
Steve Sullivan
Steve Sullivan is a retired Canadian professional ice hockey player best known for his long NHL career as a skilled, undersized scoring forward.
-
E.
Steve Sullivan
Steve Sullivan is the central character of the sitcom "Sullivan & Son," a corporate lawyer who returns to his Pittsburgh neighborhood to run his family's bar.
- 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: Tim Sullivan Triple: [Jack & Sarah, director, Tim Sullivan]
Generated description
Tim Sullivan is a film director best known for his work on the British romantic comedy-drama "Jack & Sarah."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Sullivan Target entity description: Tim Sullivan is a film director best known for his work on the British romantic comedy-drama "Jack & Sarah."
-
A.
Tim Sullivan
Tim Sullivan is a screenwriter best known for co-writing the romantic drama film "Letters to Juliet."
-
B.
Paul Sullivan
Paul Sullivan is a relatively common name shared by multiple notable individuals, including figures in fields such as music, journalism, and sports.
-
C.
Timothy Sullivan
Timothy Sullivan is a name shared by several notable individuals, including politicians, judges, and academics, whose specific identity depends on the context in which it is used.
-
D.
Steve Sullivan
Steve Sullivan is a retired Canadian professional ice hockey player best known for his long NHL career as a skilled, undersized scoring forward.
-
E.
Steve Sullivan
Steve Sullivan is the central character of the sitcom "Sullivan & Son," a corporate lawyer who returns to his Pittsburgh neighborhood to run his family's bar.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb68d0c819083ba0ce680dd7d99 |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e70bf7881909674b254e7968b55 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070f8b626c819083a31123cd6035cf |
completed | May 15, 2026, 12:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071018f61881908ace460b83dac186 |
completed | May 15, 2026, 12:22 p.m. |
Created at: April 10, 2026, 1:29 p.m.