Triple
T28866558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Wilson |
E729015
|
entity |
| Predicate | airlinePassengerStatus |
P169289
|
FINISHED |
| Object | terrified passenger |
—
|
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: terrified passenger | Statement: [Robert Wilson, airlinePassengerStatus, terrified passenger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlinePassengerStatus Context triple: [Robert Wilson, airlinePassengerStatus, terrified passenger]
-
A.
airlineStatus
Indicates the current operational or membership state of an airline, such as its activity, certification, or alliance standing.
-
B.
IATAStatus
Indicates the current operational or membership status of an entity with respect to the International Air Transport Association (IATA).
-
C.
aircraftStatus
Indicates the current operational condition or state of an aircraft (e.g., active, grounded, in maintenance, or decommissioned).
-
D.
ICAOStatus
Indicates the current operational or certification status of an entity as defined by ICAO (e.g., active, suspended, revoked, or pending).
-
E.
passengerFlight
Indicates a relationship where a flight is specifically operated to transport passengers rather than cargo or other purposes.
- F. None of above. chosen
Provenance (4 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 28, 2026, 6:49 a.m.