Triple
T23411416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Henry Hwang |
E560077
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | FOB |
—
|
NE NERFINISHED |
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: FOB | Statement: [David Henry Hwang, notableWork, FOB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FOB Context triple: [David Henry Hwang, notableWork, FOB]
-
A.
FOB
chosen
FOB is a 1980 play by David Henry Hwang that explores the experiences and cultural tensions of Chinese immigrants and American-born Chinese in the United States.
-
B.
Fobbing
Fobbing is a small historic village in the borough of Thurrock, Essex, England, known for its rural character and medieval origins.
-
C.
FOK
FOK is the IATA airport code for Francis S. Gabreski Airport, a public and military airfield in Suffolk County, New York.
-
D.
LFOB
LFOB is the ICAO airport code for Beauvais–Tillé Airport, a regional international airport serving the Beauvais area near Paris, France.
-
E.
FOBL
FOBL is the Swiss federal agency responsible for managing government buildings, real estate, and logistics services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a51183bc8190bd4860607b26b4b2 |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:38 p.m.