Triple
T15773071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillian Hellman/Dashiell Hammett Award |
E382411
|
entity |
| Predicate | presentedBy |
P83
|
FINISHED |
| Object | PEN |
E157044
|
NE 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: PEN | Statement: [Lillian Hellman/Dashiell Hammett Award, presentedBy, PEN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEN Context triple: [Lillian Hellman/Dashiell Hammett Award, presentedBy, PEN]
-
A.
PEN
chosen
PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
-
B.
PEN
PEN is the three-letter IATA airport code for Penang International Airport in Malaysia.
-
C.
PEN
PEN is the National Rail station code for Penarth railway station in the Vale of Glamorgan, Wales.
-
D.
PEN
PEN is the Peruvian sol, the official national currency of Peru.
-
E.
Pen
Pen is a town in Maharashtra, India, known for its traditional Ganesh idol-making industry and cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051976d248190adddd3db9f758e22 |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877c5ae88190aeb500bb5f0d73f7 |
completed | May 9, 2026, 7:14 p.m. |
Created at: April 10, 2026, 4:47 a.m.