Triple
T2255964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romeo Crennel |
E49724
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Crennel
Crennel is the surname of Romeo Crennel, an American football coach best known for his roles as an NFL head coach and defensive coordinator.
|
E249071
|
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: Crennel | Statement: [Romeo Crennel, familyName, Crennel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crennel Context triple: [Romeo Crennel, familyName, Crennel]
-
A.
Coryell
Coryell is the named defendant in the landmark 1823 U.S. case Corfield v. Coryell, which helped define the scope of the Privileges and Immunities Clause.
-
B.
Lohse
Lohse is a German surname borne by various notable individuals in fields such as science, sports, and the arts.
-
C.
Quarles
Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
-
D.
Argolis
Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
-
E.
Haven Daboll
Haven Daboll is a member of the Daboll family, known publicly as a relative of NFL head coach Brian Daboll.
- 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: Crennel Triple: [Romeo Crennel, familyName, Crennel]
Generated description
Crennel is the surname of Romeo Crennel, an American football coach best known for his roles as an NFL head coach and defensive coordinator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crennel Target entity description: Crennel is the surname of Romeo Crennel, an American football coach best known for his roles as an NFL head coach and defensive coordinator.
-
A.
Coryell
Coryell is the named defendant in the landmark 1823 U.S. case Corfield v. Coryell, which helped define the scope of the Privileges and Immunities Clause.
-
B.
Lohse
Lohse is a German surname borne by various notable individuals in fields such as science, sports, and the arts.
-
C.
Quarles
Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
-
D.
Argolis
Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
-
E.
Haven Daboll
Haven Daboll is a member of the Daboll family, known publicly as a relative of NFL head coach Brian Daboll.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b1fc8808190aebc534ea5adb534 |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6c87e3108190bc3852b3ebdba45a |
completed | March 9, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6d0f723c8190bf0f91dad961e377 |
completed | March 9, 2026, 6:47 a.m. |
Created at: March 4, 2026, 7:47 p.m.