Triple
T21436430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rails & Ties |
E528823
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Tom Stark
Tom Stark is a central character in the drama film "Rails & Ties," portrayed as a troubled train engineer whose life is upended by a tragic accident and an unexpected bond with an orphaned boy.
|
E1485052
|
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: Tom Stark | Statement: [Rails & Ties, hasCharacter, Tom Stark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Stark Context triple: [Rails & Ties, hasCharacter, Tom Stark]
-
A.
Steve Stark
Steve Stark is a television producer and studio executive known for overseeing and developing numerous scripted series across major networks and platforms.
-
B.
Steve Stark
Steve Stark is the husband of American actress and television director Lynda Goodfriend.
-
C.
Albert Stark
Albert Stark is the timid, unlucky sheep farmer protagonist of the comedy Western film "A Million Ways to Die in the West," portrayed by Seth MacFarlane.
-
D.
Joe Simmons
Joe Simmons is the son of American actor J.K. Simmons.
-
E.
Howard Stark
Howard Stark is a brilliant industrialist, inventor, and co-founder of S.H.I.E.L.D. in the Marvel universe, known for shaping advanced technology and influencing his son Tony Stark’s legacy.
- 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: Tom Stark Triple: [Rails & Ties, hasCharacter, Tom Stark]
Generated description
Tom Stark is a central character in the drama film "Rails & Ties," portrayed as a troubled train engineer whose life is upended by a tragic accident and an unexpected bond with an orphaned boy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Stark Target entity description: Tom Stark is a central character in the drama film "Rails & Ties," portrayed as a troubled train engineer whose life is upended by a tragic accident and an unexpected bond with an orphaned boy.
-
A.
Steve Stark
Steve Stark is a television producer and studio executive known for overseeing and developing numerous scripted series across major networks and platforms.
-
B.
Steve Stark
Steve Stark is the husband of American actress and television director Lynda Goodfriend.
-
C.
Albert Stark
Albert Stark is the timid, unlucky sheep farmer protagonist of the comedy Western film "A Million Ways to Die in the West," portrayed by Seth MacFarlane.
-
D.
Joe Simmons
Joe Simmons is the son of American actor J.K. Simmons.
-
E.
Howard Stark
Howard Stark is a brilliant industrialist, inventor, and co-founder of S.H.I.E.L.D. in the Marvel universe, known for shaping advanced technology and influencing his son Tony Stark’s legacy.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b537f39081909220577618657805 |
completed | April 22, 2026, 11:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c8fd41d08190a28e5efa6880b879 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c97c16c88190ba27f2431fb8d8d3 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca639d74819094f368d15c1e7a1a |
completed | May 17, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:02 p.m.