Triple
T23262426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HNDRXX |
E582049
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Damage |
E1172780
|
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: Damage | Statement: [HNDRXX, hasTrack, Damage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damage Context triple: [HNDRXX, hasTrack, Damage]
-
A.
Damage
"Damage" is a 1992 British-French psychological drama film directed by Louis Malle, in which Miranda Richardson delivers an acclaimed performance as the betrayed wife of a politician entangled in a destructive affair.
-
B.
Damage
chosen
"Damage" is a soulful R&B song by American singer-songwriter H.E.R. (Gabi Wilson) that showcases her smooth vocals and emotionally vulnerable lyricism.
-
C.
Damage
"Damage" is a work by Martyn Fleming, likely a creative piece such as a novel, story, or other artistic production.
-
D.
Damage
"Damage" is a politically charged hip-hop track by Pharoahe Monch that addresses gun violence and its impact through vivid, narrative lyricism.
-
E.
Damage Done
Damage Done is a melodic death metal album by the Swedish band Dark Tranquillity, noted for its aggressive sound and refined, modern production.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9f33c819082ef6b380fc594dd |
completed | April 29, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f7050388190a0848037c96049c0 |
completed | May 19, 2026, 10:46 a.m. |
Created at: April 17, 2026, 4:11 p.m.