Triple
T14805140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Day Stewart |
E348011
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Listen to Me |
E810334
|
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: Listen to Me | Statement: [Douglas Day Stewart, wrote, Listen to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Listen to Me Context triple: [Douglas Day Stewart, wrote, Listen to Me]
-
A.
Listen to Me
chosen
"Listen to Me" is a 1989 American drama film about a college debate team, notable for featuring Jason Gould among its cast.
-
B.
Listen to Me
"Listen to Me" is a crime thriller novel by Tess Gerritsen featuring her popular Rizzoli & Isles characters in a tense investigation that intertwines neighborhood secrets with a complex murder case.
-
C.
Hear Me Now
"Hear Me Now" is a popular electronic dance music track by Brazilian DJ and producer Bruno Martini, known for its catchy melody and international chart success.
-
D.
Can You Hear Me
"Can You Hear Me" is a pop song by Enrique Iglesias that served as the official anthem of the UEFA Euro 2008 football tournament.
-
E.
Hear Me Out
"Hear Me Out" is a pop-rock album by Dutch singer-songwriter Roel van Velzen that helped establish his mainstream success in the Netherlands.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3893c760819094ce1d63478a39ce |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:34 a.m.