Triple
T9130550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 World Trade Center bombing |
E219073
|
entity |
| Predicate | notableVictim |
P870
|
FINISHED |
| Object |
Stephen Knapp
Stephen Knapp is an American who was seriously injured in the 1993 World Trade Center bombing, becoming one of the attack’s most widely known survivors.
|
E786600
|
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: Stephen Knapp | Statement: [1993 World Trade Center bombing, notableVictim, Stephen Knapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Knapp Context triple: [1993 World Trade Center bombing, notableVictim, Stephen Knapp]
-
A.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
B.
Michael Snodgrass
Michael Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass.
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
E.
Phil Stong
Phil Stong was an American novelist and journalist best known for his 1932 novel "State Fair," which inspired multiple film adaptations.
- 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: Stephen Knapp Triple: [1993 World Trade Center bombing, notableVictim, Stephen Knapp]
Generated description
Stephen Knapp is an American who was seriously injured in the 1993 World Trade Center bombing, becoming one of the attack’s most widely known survivors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Knapp Target entity description: Stephen Knapp is an American who was seriously injured in the 1993 World Trade Center bombing, becoming one of the attack’s most widely known survivors.
-
A.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
B.
Michael Snodgrass
Michael Snodgrass is a person notable enough to be recognized as a bearer of the surname Snodgrass.
-
C.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
D.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
E.
Phil Stong
Phil Stong was an American novelist and journalist best known for his 1932 novel "State Fair," which inspired multiple film adaptations.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cdafb48190be5e62b15779d771 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d07761b32c81909b57c872485a3591 |
completed | April 4, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69d07990e6cc81908361f48cc8556b2d |
completed | April 4, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07a0182a08190902119c3cbf6e19d |
completed | April 4, 2026, 2:40 a.m. |
Created at: March 30, 2026, 7:18 p.m.