Triple
T13758944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waite |
E330548
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tommy Waite
Tommy Waite is an Irish former professional boxer known for competing in the bantamweight and featherweight divisions.
|
E1059239
|
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 Waite | Statement: [Waite, hasNotableBearer, Tommy Waite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Waite Context triple: [Waite, hasNotableBearer, Tommy Waite]
-
A.
Warren Zevon
Warren Zevon was an American singer-songwriter known for his darkly witty lyrics, distinctive voice, and cult-classic songs like "Werewolves of London."
-
B.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
-
C.
Tom Bell
Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
-
D.
Dusty Hill
Dusty Hill was an American bassist, singer, and songwriter best known as the longtime bearded bass player and vocalist for the rock band ZZ Top.
-
E.
Billy Sadler
Billy Sadler is a former professional American football player best known for his time as a standout member of the short-lived World Football League team, the San Antonio Wings.
- 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 Waite Triple: [Waite, hasNotableBearer, Tommy Waite]
Generated description
Tommy Waite is an Irish former professional boxer known for competing in the bantamweight and featherweight divisions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tommy Waite Target entity description: Tommy Waite is an Irish former professional boxer known for competing in the bantamweight and featherweight divisions.
-
A.
Warren Zevon
Warren Zevon was an American singer-songwriter known for his darkly witty lyrics, distinctive voice, and cult-classic songs like "Werewolves of London."
-
B.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
-
C.
Tom Bell
Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
-
D.
Dusty Hill
Dusty Hill was an American bassist, singer, and songwriter best known as the longtime bearded bass player and vocalist for the rock band ZZ Top.
-
E.
Billy Sadler
Billy Sadler is a former professional American football player best known for his time as a standout member of the short-lived World Football League team, the San Antonio Wings.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0223ab9081909db05334860405e0 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a85dfa6881908da90886db4aa1bb |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a994cd688190a077a4854c5c71c9 |
completed | May 3, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aa32b8c8819088bbc9e478c21c06 |
completed | May 3, 2026, 8:04 p.m. |
Created at: April 9, 2026, 10:09 p.m.