Triple
T20673878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J Mascis |
E508108
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Deep Wound |
E1444912
|
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: Deep Wound | Statement: [J Mascis, associatedAct, Deep Wound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Wound Context triple: [J Mascis, associatedAct, Deep Wound]
-
A.
Deep Wound
chosen
Deep Wound was an early 1980s American hardcore punk band from Massachusetts known for its fast, aggressive sound and for featuring future Dinosaur Jr. members J Mascis and Lou Barlow.
-
B.
Wounds
Wounds is a psychological horror film centered on a New Orleans bartender who experiences disturbing events after discovering a mysterious phone.
-
C.
Achilles’ heel wound
Achilles’ heel wound is the legendary fatal injury to the otherwise invulnerable Greek hero Achilles, symbolizing a single critical weakness that leads to downfall.
-
D.
Wundwin
Wundwin is a town in central Myanmar located within the Mandalay Region.
-
E.
Burns
Burns is a common Scottish surname most famously associated with the poet Robert Burns.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cca8808190a60ee28c7ea46412 |
completed | April 20, 2026, 11:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7da54588190b0f13d8b4d6d4d51 |
completed | May 16, 2026, 8:47 p.m. |
Created at: April 16, 2026, 11:44 a.m.