Triple
T1431767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunnar |
E30461
|
entity |
| Predicate | cognate |
P2527
|
FINISHED |
| Object |
Gunner
Gunner is a masculine given name and surname of English origin, often associated with strength and warrior-like qualities.
|
E163765
|
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: Gunner | Statement: [Gunnar, cognate, Gunner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunner Context triple: [Gunnar, cognate, Gunner]
-
A.
Tommy Atkins
Tommy Atkins is a widely grown commercial mango cultivar known for its attractive color, long shelf life, and firm, fibrous flesh.
-
B.
Bullet Rogan
Bullet Rogan was a legendary two-way star of Negro league baseball, renowned as both a dominant pitcher and powerful hitter in the early 20th century.
-
C.
Captain Weaver
Captain Weaver is a hardened, pragmatic military leader who commands the 2nd Massachusetts resistance regiment in the post-apocalyptic sci‑fi TV series "Falling Skies."
-
D.
O'Brien
O'Brien is a common Irish surname of Gaelic origin, historically associated with the descendants of the High King Brian Boru.
-
E.
Shotgun
"Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
- 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: Gunner Triple: [Gunnar, cognate, Gunner]
Generated description
Gunner is a masculine given name and surname of English origin, often associated with strength and warrior-like qualities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gunner Target entity description: Gunner is a masculine given name and surname of English origin, often associated with strength and warrior-like qualities.
-
A.
Tommy Atkins
Tommy Atkins is a widely grown commercial mango cultivar known for its attractive color, long shelf life, and firm, fibrous flesh.
-
B.
Bullet Rogan
Bullet Rogan was a legendary two-way star of Negro league baseball, renowned as both a dominant pitcher and powerful hitter in the early 20th century.
-
C.
Captain Weaver
Captain Weaver is a hardened, pragmatic military leader who commands the 2nd Massachusetts resistance regiment in the post-apocalyptic sci‑fi TV series "Falling Skies."
-
D.
O'Brien
O'Brien is a common Irish surname of Gaelic origin, historically associated with the descendants of the High King Brian Boru.
-
E.
Shotgun
"Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4ddbe208190a68cb000a6970d17 |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad016bf2608190a675cbd42e474082 |
completed | March 8, 2026, 4:56 a.m. |
| NEDg | Description generation | batch_69ad0294353081908e29735d1b83f2cc |
completed | March 8, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad02f6bf288190bcb785762d14787c |
completed | March 8, 2026, 5:02 a.m. |
Created at: March 1, 2026, 8 p.m.