Triple
T36576626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hani Hanjour |
E902272
|
entity |
| Predicate | enteredUnitedStates |
P87279
|
FINISHED |
| Object | 1991 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 1991 | Statement: [Hani Hanjour, enteredUnitedStates, 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredUnitedStates Context triple: [Hani Hanjour, enteredUnitedStates, 1991]
-
A.
enteredCountry
chosen
Indicates that an entity has moved into or crossed the border to be physically present within a specified country.
-
B.
enteredUSMarketDirectly
Indicates that an entity began operating in the United States market without using intermediaries such as distributors, agents, or partners.
-
C.
enteredUnitedStatesBeforeAttacks
Indicates that the subject entered the United States prior to the occurrence of the specified attacks.
-
D.
enteredPublicDomainInUS
Indicates that the subject work has lost its copyright protection and is legally in the public domain within the United States as of a specified time.
-
E.
enteredCountryVia
Indicates that an entity came into a country using a specific entry point, route, or method.
- F. None of above.
Provenance (3 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:11 p.m.