Triple
T15167557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fall |
E362393
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Tommy Crooks
Tommy Crooks is a musician best known as a member of the influential English post-punk band The Fall.
|
E1141699
|
NE FINISHED |
How this triple was built (4 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: Tommy Crooks | Statement: [The Fall, hasMember, Tommy Crooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Crooks Context triple: [The Fall, hasMember, Tommy Crooks]
-
A.
Tommy Gormley
Tommy Gormley is a Scottish film assistant director and producer known for his work on major Hollywood productions such as "Star Trek" and "Star Wars: The Force Awakens."
-
B.
Tommy Hawk
Tommy Hawk is the anthropomorphic hawk mascot of the NHL’s Chicago Blackhawks, known for entertaining fans with energetic antics at games and community events.
-
C.
Tommy Brue
Tommy Brue is a middle-aged British banker entangled in espionage and moral ambiguity in John le Carré’s spy novel "A Most Wanted Man."
-
D.
Tommy Elm
Tommy Elm is a musician best known for being a member of Prince’s backing band, The New Power Generation.
-
E.
Tommy Aldridge
Tommy Aldridge is an American hard rock and heavy metal drummer renowned for his powerful double-bass technique and work with bands such as Whitesnake and Ozzy Osbourne.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tommy Crooks Triple: [The Fall, hasMember, Tommy Crooks]
Generated description
Tommy Crooks is a musician best known as a member of the influential English post-punk band The Fall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tommy Crooks Target entity description: Tommy Crooks is a musician best known as a member of the influential English post-punk band The Fall.
-
A.
Tommy Gormley
Tommy Gormley is a Scottish film assistant director and producer known for his work on major Hollywood productions such as "Star Trek" and "Star Wars: The Force Awakens."
-
B.
Tommy Hawk
Tommy Hawk is the anthropomorphic hawk mascot of the NHL’s Chicago Blackhawks, known for entertaining fans with energetic antics at games and community events.
-
C.
Tommy Brue
Tommy Brue is a middle-aged British banker entangled in espionage and moral ambiguity in John le Carré’s spy novel "A Most Wanted Man."
-
D.
Tommy Elm
Tommy Elm is a musician best known for being a member of Prince’s backing band, The New Power Generation.
-
E.
Tommy Aldridge
Tommy Aldridge is an American hard rock and heavy metal drummer renowned for his powerful double-bass technique and work with bands such as Whitesnake and Ozzy Osbourne.
- F. None of above. chosen
Provenance (5 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec887fbf08190b42dd25a99b7770d |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec974f39c819081dcec5c18090cf7 |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca9d1a5c8190b0c649f83a74231b |
completed | May 9, 2026, 5:48 a.m. |
Created at: April 10, 2026, 3:08 a.m.