Triple
T16008570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natasha "Phoenix" Trace |
E388279
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
Phoenix
Phoenix is the callsign of Natasha Trace, a skilled U.S. Navy fighter pilot character in the film "Top Gun: Maverick."
|
E1197228
|
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: Phoenix | Statement: [Natasha "Phoenix" Trace, callsign, Phoenix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phoenix Context triple: [Natasha "Phoenix" Trace, callsign, Phoenix]
-
A.
Phoenix
Phoenix is a British publishing imprint known for releasing a wide range of fiction and non-fiction titles under the Orion Publishing Group.
-
B.
Phoenix
Phoenix is a small southern-sky constellation named after the mythical firebird, visible primarily from the Southern Hemisphere.
-
C.
Phoenix
Phoenix is a figure in Greek mythology, often depicted as a son of Agenor and associated with the legendary founding of Phoenicia.
-
D.
Phoenix
Phoenix is a figure in Greek mythology, often portrayed as a legendary king associated with the region of Phoenicia and linked to the origins of the Phoenician people.
-
E.
Phoenix
Phoenix is a figure in Greek mythology, often identified as a son of Agenor and brother of Cadmus, associated with the legendary founding of Phoenicia.
- 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: Phoenix Triple: [Natasha "Phoenix" Trace, callsign, Phoenix]
Generated description
Phoenix is the callsign of Natasha Trace, a skilled U.S. Navy fighter pilot character in the film "Top Gun: Maverick."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phoenix Target entity description: Phoenix is the callsign of Natasha Trace, a skilled U.S. Navy fighter pilot character in the film "Top Gun: Maverick."
-
A.
Phoenix
Phoenix is the powerful mutant alter-ego of Jean Grey in the X-Men franchise, known for her immense telepathic and telekinetic abilities and central role in several major storylines.
-
B.
Phoenix
The Phoenix is a fast, flying Protoss combat unit from the StarCraft series, known for its anti-air capabilities and battlefield control.
-
C.
Phoenix
Phoenix is a prominent American acting family name most famously associated with Oscar-winning actor Joaquin Phoenix.
-
D.
Phoenix
Phoenix is a small southern-sky constellation named after the mythical firebird, visible primarily from the Southern Hemisphere.
-
E.
Phoenix
Phoenix is the mythical firebird mascot representing Wilson College’s spirit and identity.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15801a58881909805d0b90011e6ff |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7924b148190a470f86d5ca8882c |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff8cc75b08190a5824dc35b751f93 |
completed | May 10, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff98b3d7c8190bb284321d17f58e2 |
completed | May 10, 2026, 3:20 a.m. |
Created at: April 10, 2026, 4:55 a.m.