Triple
T33190875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claire Littleton |
E849606
|
entity |
| Predicate | statusOnFlight815 |
P169289
|
FINISHED |
| Object | pregnant |
—
|
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: pregnant | Statement: [Claire Littleton, statusOnFlight815, pregnant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOnFlight815 Context triple: [Claire Littleton, statusOnFlight815, pregnant]
-
A.
positionAmongHijackersOnFlight
Indicates the specific ordinal place a hijacker occupied within the group of hijackers on a particular flight.
-
B.
positionOnFlight
Indicates the specific seat or positional assignment that an entity has on a particular flight.
-
C.
numberOfPlayersOnFlight571
Indicates the total count of players who were on Flight 571.
-
D.
airlinePassengerStatus
chosen
Indicates the current travel-related status or classification assigned to an airline passenger (e.g., checked-in, boarded, standby, or loyalty tier).
-
E.
numberOfHijackers
Indicates the quantity of individuals who carried out or attempted to carry out a hijacking in the described event or context.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 1, 2026, 1:29 a.m.