Triple
T12772356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Murphy |
E305275
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Shocker |
E934311
|
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: Shocker | Statement: [Michael Murphy, notableWork, Shocker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shocker Context triple: [Michael Murphy, notableWork, Shocker]
-
A.
Shocker
Shocker is a 1989 American horror film that blends slasher and supernatural elements, following a serial killer who gains the ability to travel through electricity after his execution.
-
B.
Shocker
chosen
Shocker is a Marvel Comics supervillain and recurring enemy of Spider-Man known for using vibration-powered gauntlets to commit crimes.
-
C.
The Freak
The Freak is the nickname of Tim Lincecum, a former San Francisco Giants pitcher known for his dominant performances, unorthodox delivery, and multiple Cy Young Awards.
-
D.
Spook
Spook is a laid-back, beatnik-style alley cat and one of Top Cat’s loyal gang members in the classic Hanna-Barbera animated series.
-
E.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684fcd4b48190ab610efffcbd1546 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:28 p.m.