Triple
T1302150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hit-Boy |
E27790
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Chauncey |
E140604
|
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: Chauncey | Statement: [Hit-Boy, givenName, Chauncey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chauncey Context triple: [Hit-Boy, givenName, Chauncey]
-
A.
Chauncey
chosen
Chauncey is a masculine given name most famously borne by former NBA player and coach Chauncey Billups.
-
B.
Whitey Marsh
Whitey Marsh is the tough, streetwise orphan who becomes the central reformed youth in the classic 1938 film "Boys Town."
-
C.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
D.
Rabbit Maranville
Rabbit Maranville was a Hall of Fame Major League Baseball shortstop renowned for his defensive brilliance, durability, and colorful personality during the early 20th century.
-
E.
Willard
Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c115ba64819081c55fa6807e19ef |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf243adc8190b8516554701b4290 |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:51 p.m.